Lviv Data Science Summer School

About Summer School

Lviv Data Science Summer School is an educational initiative of the Faculty of Applied Sciences of the Ukrainian Catholic University. The Summer School participants – undergraduates, Ph.D. students, young professionals – study state-of-the-art methods and tools of Data Science, and Machine Learning. The school is oriented towards the intermediate level of participants’ knowledge.

The dates of the school in 2021 are July 19th – 30th.

Important! Due to the COVID-19 pandemic, the Lviv Data Science Summer School is transferred to an online format.

Study program

The goal of the Summer School is to give the practice-oriented knowledge in the field of Data Science.

The students are involved in several elective practice-oriented courses in the domains of Computer Vision, Natural Language Processing, Healthcare, Social Network Analysis, Urban Data Science, etc.

The participants can gain from 3 to 6 ECTS credits after the School completion. Some courses will include assignments, each of which allows to get 1 ECTS credit. Assignments are provided by teachers. Also, each assignment has a specific deadline.

Prerequisites

Eligible applicants should be familiar with the basics of Statistical Inference, Machine Learning, Python programming (also R programming will be good). Detailed knowledge prerequisites together with the recommendations for the individual preparation can be found on the “Terms of service” web page under the Prerequisites section.

Lecturers

The scientists from well-known universities and the leading specialists of the Ukrainian and world’s companies teach at the Summer School.

Application process

The application will be open on March 1st, 2021. The application deadline is June 1st, 2021.

If you are interested and do not want to miss the application start you may leave your contact in this pre-application online form: https://goo.gl/2Kpu6r

Previous schools

Contacts

In case you have any questions, please contact us via
Email: [email protected]

Useful links